Abstract
Finding an optimal solution for QoS-aware Web service composition with various restrictions on qualities is a multi-objective optimisation problem. A popular multi-objective genetic algorithm, NSGA-II, is studied in order to provide a set of optimal solutions for QoS-based service composition. Experiments with different numbers of abstract and concrete services confirm the expected behaviour of the algorithm.
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© 2010 Springer-Verlag Berlin Heidelberg
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Li, L., Yang, P., Ou, L., Zhang, Z., Cheng, P. (2010). Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_50
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DOI: https://doi.org/10.1007/978-3-642-15280-1_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15279-5
Online ISBN: 978-3-642-15280-1
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